tf.diag(diagonal, name=None) Returns a diagonal tensor with a given diagonal values. Given a

tf.contrib.learn.monitors.NanLoss.every_n_post_step(step, session) Callback after a step is finished or end() is

tf.reduce_max(input_tensor, reduction_indices=None, keep_dims=False, name=None) Computes the maximum of elements across dimensions

tf.contrib.learn.monitors.ValidationMonitor.early_stopped Returns True if this monitor caused an early stop.

tf.contrib.graph_editor.matcher.input_ops(*args) Add input matches.

tf.IdentityReader.__init__(name=None) Create a IdentityReader. Args:

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.mu

class tf.nn.rnn_cell.DropoutWrapper Operator adding dropout to inputs and outputs of the given cell.

tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor.input_dict

tf.contrib.distributions.WishartFull.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a 1-D